reprabhala

Hi, I am Revathi Prabhala a data scientist with a strong programming background. At work, I contribute to defect detection, key metrology parameter prediction, pipeline creation and data analysis. I try to utilise my time on GitHub to explore other areas of prediction and to contribute to open source projects. In my downtime, my interest lies in pursuing music and dragging myself to the gym every morning.

Revathi Prabhala's Projects

couler

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dog_breed_classifier

Dog Breed Classifier (Udacity project) using PyTorch.

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

gym

A toolkit for developing and comparing reinforcement learning algorithms.

heartattack

This repository performs an exploratory data analysis on the Kaggle dataset https://www.kaggle.com/rashikrahmanpritom/heart-attack-analysis-prediction-dataset. This data set provides the following details about patients that could contribute to heart attack:About dataset Age : Age of the patient Sex : Sex of the patient exang: exercise induced angina (1 = yes; 0 = no) ca: number of major vessels (0-3) cp : Chest Pain type chest pain type Value 1: typical angina Value 2: atypical angina Value 3: non-anginal pain Value 4: asymptomatic trtbps : resting blood pressure (in mm Hg) chol : cholestoral in mg/dl fetched via BMI sensor fbs : (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false) rest_ecg : resting electrocardiographic results Value 0: normal Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV) Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria thalach : maximum heart rate achieved target : 0= less chance of heart attack 1= more chance of heart attack

predicting-bike-sharing

Neural network to predict daily bike rentalship (Udacity project) using pyTorch

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants